Instructions to use bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="bcywinski/gemma-3-27b-it-uyghurs-censored-unsloth", max_seq_length=2048, )
- Xet hash:
- 4c5c091ac196761fac7ad1437905b2d6171ed67290afe8356a025e2c67fe96e0
- Size of remote file:
- 489 MB
- SHA256:
- b713dd4e406e0300b2f812119eba7a76048db8245dfa1b25856a9b247a5ee001
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